Machine Learning | Systematic | Long-Term | Deep Value | Concentrated


Fund Objective

The Euclidean Fundamental Value ETF seeks long-term capital appreciation by investing in a concentrated portfolio of undervalued U.S. stocks across all sectors, excluding financials.


Leveraging over a decade of extensive research in the application of machine learning to long-term equity investing, Euclidean Technologies has trained a proprietary set of models – implemented as deep neural networks – to perform two tasks (1) estimate the intrinsic value of companies to find inexpensive stocks and (2) identify inexpensive stocks that are likely to underperform so they can be avoided. Euclidean uses these models to systematically construct and manage a concentrated portfolio of undervalued U.S. stocks. Details on the systematic process used to drive the investment strategy and references to the research behind it can be found in the summary and statutory prospectus of the fund.

Fund Documents

Fund Details

Current NAV and Market Price

Net Asset Value or NAV is the sum of all assets less any liabilities, divided by the number of shares outstanding. Market Price is the price at which an investor can buy or sell the Fund on an exchange.

Month-End Performance

Quarter-End Performance

The performance data quoted represents past performance and is no guarantee of future results. Investment return and principal value of an investment will fluctuate so that an investor’s shares, when redeemed, may be worth more or less than their original cost. Current performance may be lower or higher than the performance data quoted. 

Market price returns are based upon the closing composite market price and do not represent the returns you would receive if you traded shares at other times. Returns are average annualized total returns, except those for periods of less than one year, which are cumulative. YTD is year-to-date and ITD is inception-to-date.

Historical Premium / Discount

Fund Distributions

Fund Holdings

Fund holdings and allocations are subject to change at any time and should not be considered a recommendation to buy or sell any security.